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BATT vs LITP
BATT vs LITP Comparison
Open Charts BATT vs LITP
Amplify Lithium & Battery Tech ETF
Price$11.01
Change-$0.06 (-0.54%)
Volume$19.04K
Net Assets67.14M
Sprott Lithium Miners ETF
Price$8.13
Change+$0.38 (+4.91%)
Volume$39.38K
Net Assets20.26M
BATT vs LITP Comparison Chart in %
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BATT vs. LITP commentary
Aug 28, 2025
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is BATT is a Buy and LITP is a Hold.
SUMMARIES
FUNDAMENTALS
Fundamentals
BATT has more net assets: 67.1M vs. LITP (20.3M). BATT has a higher annual dividend yield than LITP: BATT (25.114) vs LITP (21.632). BATT was incepted earlier than LITP: BATT (7 years) vs LITP (3 years). BATT (0.59) has a lower expense ratio than LITP (0.65). BATT has a higher turnover LITP (49.00) vs LITP (49.00).
| BATT | LITP | BATT / LITP | |
| Gain YTD | 25.114 | 21.632 | 116% |
| Net Assets | 67.1M | 20.3M | 331% |
| Total Expense Ratio | 0.59 | 0.65 | 91% |
| Turnover | 69.00 | 49.00 | 141% |
| Yield | 2.82 | 6.71 | 42% |
| Fund Existence | 7 years | 3 years | - |
TECHNICAL ANALYSIS
Technical Analysis
| BATT | LITP | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 84% | 2 days ago 89% |
| Stochastic ODDS (%) | 2 days ago 78% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 87% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 85% | 2 days ago 81% |
| TrendWeek ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 85% | 2 days ago 90% |
| Advances ODDS (%) | 2 days ago 89% | 3 days ago 84% |
| Declines ODDS (%) | 8 days ago 90% | 8 days ago 90% |
| BollingerBands ODDS (%) | 7 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 88% | 2 days ago 89% |
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Interesting Tickers
BATT and
Correlation & Price change
A.I.dvisor indicates that over the last year, BATT has been closely correlated with BHP. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if BATT jumps, then BHP could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
|---|---|---|---|---|
| BATT | 100% | -0.58% | ||
| BHP - BATT | 75% Closely correlated | +0.40% | ||
| ALB - BATT | 71% Closely correlated | +7.54% | ||
| SQM - BATT | 69% Closely correlated | +2.78% | ||
| PLL - BATT | 66% Closely correlated | -1.80% | ||
| SGML - BATT | 61% Loosely correlated | +11.46% | ||
More | ||||
LITP and
Correlation & Price change
A.I.dvisor indicates that over the last year, LITP has been closely correlated with SQM. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if LITP jumps, then SQM could also see price increases.
1D
1W
1M
1Q
6M
1Y
5Y
| Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
|---|---|---|---|---|
| LITP | 100% | +4.91% | ||
| SQM - LITP | 76% Closely correlated | +2.78% | ||
| ALB - LITP | 74% Closely correlated | +7.54% | ||
| LAR - LITP | 73% Closely correlated | +0.62% | ||
| SGML - LITP | 66% Loosely correlated | +11.46% | ||
| LAC - LITP | 64% Loosely correlated | +3.47% | ||
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